JP2003511657A - How to monitor wind power facilities - Google Patents
How to monitor wind power facilitiesInfo
- Publication number
- JP2003511657A JP2003511657A JP2001528338A JP2001528338A JP2003511657A JP 2003511657 A JP2003511657 A JP 2003511657A JP 2001528338 A JP2001528338 A JP 2001528338A JP 2001528338 A JP2001528338 A JP 2001528338A JP 2003511657 A JP2003511657 A JP 2003511657A
- Authority
- JP
- Japan
- Prior art keywords
- spectrum
- wind power
- power generation
- noise spectrum
- noise
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/04—Automatic control; Regulation
- F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0264—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for stopping; controlling in emergency situations
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0296—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor to prevent, counteract or reduce noise emissions
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
- F03D9/20—Wind motors characterised by the driven apparatus
- F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2240/00—Components
- F05B2240/20—Rotors
- F05B2240/21—Rotors for wind turbines
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/96—Preventing, counteracting or reducing vibration or noise
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/333—Noise or sound levels
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Wind Motors (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
(57)【要約】 風力発電設備のパラメータをモニターすることにより、斯かる設備の維持管理、安全性、経済性を改善することができる。従って、風力発電設備をモニターすのが本発明の目的であり、設備の運転ノイズスペクトルを予め記録した基準ノイズスペクトルと比較して、両者間のズレの大小でトラブルの有無を判断する。 (57) [Summary] By monitoring the parameters of the wind power installation, the maintenance, safety and economy of such installation can be improved. Therefore, it is an object of the present invention to monitor a wind power generation facility, and compare the operation noise spectrum of the facility with a pre-recorded reference noise spectrum to determine the presence or absence of a trouble based on the magnitude of the difference between the two.
Description
【0001】
(技術分野)
本発明は、風力発電設備をモニターする方法に関し、特に音響モニターを行う
方法に関する。TECHNICAL FIELD The present invention relates to a method for monitoring a wind power generation facility, and more particularly to a method for acoustic monitoring.
【0002】
(背景技術)
風力発電設備を効果的に利用するためには、風力発電設備の調整、運転管理と
を、当該設備が完全自動化されるように行うのが望ましい。通常の運転手順で人
的介在を要する他の運転法は、経済的な観点からして受け入れられるものではな
い。風力発電設備の経済性を更に増大させるためには、各運伝条件におけるエネ
ルギー変換率ができるだけ高くなるように調整を行わなければならない。また、
風力発電設備の調整と運転管理との見地から重要なことは、運転上の安全性があ
る。技術的障害や環境に対する危害も考慮すべきであり、安全システムも働かせ
るべきである。更に、調整システムとしても、風力発電設備に対する機械的負荷
を減らすことができるものでなければならない。(Background Art) In order to effectively utilize a wind power generation facility, it is desirable to perform adjustment and operation management of the wind power generation facility so that the facility is fully automated. Other driving methods that require human intervention in normal driving procedures are not acceptable from an economic point of view. In order to further increase the economic efficiency of wind power generation facilities, adjustments must be made to maximize the energy conversion rate under each transmission condition. Also,
Operational safety is important from the perspective of wind power plant coordination and operation management. Technical obstacles and environmental hazards should be taken into account, and safety systems should work. Furthermore, the adjustment system must also be capable of reducing the mechanical load on the wind power generation facility.
【0003】
風力発電設備をモニターする見地からすれば、遠隔分析が行えればそれ程望ま
しいことはない。遠隔分析は、それぞれの運転データの中央管理できる利点があ
る。斯かる遠隔モニターにより、風力発電設備の経済性を高め、また、設備の平
均利用率も高めることができる。そのような場合では、例えば、サービス・セン
ターないし遠隔監視センターで運転データを調査したり分析することができる。
入力パラメータを分析することで、発生している問題を容易に認識することがで
きると共に、運転データから、開発部門のための生産、風力データなどに関する
重要な資料が得られる。斯かるデータを開発部門で分析できれば、風力発電設備
を改善することができるのである。From the standpoint of monitoring wind power generation equipment, remote analysis would be less desirable. Remote analysis has the advantage that each operation data can be centrally managed. Such remote monitoring can improve the economic efficiency of the wind power generation facility and also increase the average utilization rate of the facility. In such a case, the operating data can be investigated and analyzed at a service center or a remote monitoring center, for example.
By analyzing the input parameters, the problems that are occurring can be easily recognized and the operational data provides important material for production, wind data, etc. for the development department. If such data can be analyzed by the development department, the wind power generation facility can be improved.
【0004】
従来の風力発電設備では、例えば風速、風向き、空気密度、1分あたりのロー
ター回転速度(平均値と極端値)、温度、電流、電圧、切替えパルス、落雷(事象
計数器)などの如くのパラメータがセンサー手段により定期的にモニターされて
いる。 風力発電設備の維持管理、安全性、経済性を更に改善するには、風力発
電設備のその他のパラメータもモニターできるのが望ましい。In conventional wind power generation equipment, for example, wind speed, wind direction, air density, rotor rotation speed per minute (average value and extreme value), temperature, current, voltage, switching pulse, lightning strike (event counter), etc. Such parameters are regularly monitored by sensor means. It is desirable to be able to monitor other parameters of the wind farm to further improve the maintenance, safety and economics of the wind farm.
【0005】
遠隔監視センサーで入力パラメータを分析すれば、この遠隔監視センターがト
ラブル源などについて正確な現場保守管理用の手掛かり情報が得られることから
、現場での保守作業が捗ることになる。By analyzing the input parameters with the remote monitoring sensor, the remote monitoring center can obtain accurate clue information for on-site maintenance management regarding trouble sources and the like, and thus the on-site maintenance work progresses.
【0006】
(発明の開示)
従って、本発明の目的は、風力発電設備のモニター法を改善することにある。
この目的は、本発明によれば、前述のように風力発電設備をモニターするばかり
ではなくて、このモニターを音響を利用して行うことで達成できる。DISCLOSURE OF THE INVENTION Accordingly, it is an object of the present invention to improve a method for monitoring wind power generation equipment.
According to the present invention, this object can be achieved not only by monitoring the wind power generation equipment as described above, but also by using this sound.
【0007】
本発明によれば、考えられる損傷を予め避けるために、トラブルを早期検出す
ることができる利点がある。これにより、螺合接続部でのネジ類のゆるみ、イン
バータに関して、または、変圧器に関して発電区域での電気障害、ローター羽の
摩耗や氷結などを早い段階で前もって識別することができる。According to the present invention, there is an advantage that a trouble can be detected early in order to avoid possible damage in advance. This makes it possible to identify, at an early stage, loosening of screws or the like at the screwed connection, electrical failure in the power generation area with respect to the inverter or with respect to the transformer, wear and icing of rotor blades, and the like.
【0008】
本発明によれば、風力発電設備を音響モニターするには、先ず、設備ないしそ
の構成部品の基準ノイズスペクトルを記録して保存する。運転時に運転時のノイ
ズスペクトルを連続または繰り返して記録し、これを保存している基準スペクト
ルと比較することで、両者間のズレを検出する。風力発電設備の基準ノイズスペ
クトルを記録する代わりに、既に保存されている風力発電設備の基準ノイズスペ
クトルを利用することも可能である。According to the invention, in order to acoustically monitor a wind power installation, the reference noise spectrum of the installation or its components is first recorded and saved. During operation, the noise spectrum during operation is recorded continuously or repeatedly, and the difference between the two is detected by comparing this with the stored reference spectrum. Instead of recording the reference noise spectrum of the wind power plant, it is possible to use the already stored reference noise spectrum of the wind power plant.
【0009】
本発明の好ましい実施の形態では、運転時のノイズスペクトルと基準ノイズス
ペクトルとの間で検出されたズレは、集中分析のために遠隔監視センターに送信
されるようになっている。In a preferred embodiment of the invention, the deviation detected between the driving noise spectrum and the reference noise spectrum is transmitted to a remote monitoring center for centralized analysis.
【0010】
好ましくは、音響ピックアップで記録され、運転時のノイズスペクトルと基準
ノイズスペクトルとの比較結果でズレの生じる元のノイズも遠隔監視センターに
送信されるようになっているので、当該センターでの保守管理員が聴取によりノ
イズをチェックすることができる。[0010] Preferably, the original noise, which is recorded by the acoustic pickup and causes a deviation in the comparison result between the noise spectrum during driving and the reference noise spectrum, is also transmitted to the remote monitoring center. The maintenance staff can check the noise by listening.
【0011】
そのような場合では、元のノイズからノイズパターンを形成し、斯かるノイズ
パターンから音響データの書庫を構築するのが望ましい。In such a case, it is desirable to form a noise pattern from the original noise and construct a library of acoustic data from the noise pattern.
【0012】
運転時のノイズスペクトルと基準ノイズスペクトルとの間のズレが所定閾値よ
りも大きければ、風力発電設備は恐らくはオフになっている。If the deviation between the operating noise spectrum and the reference noise spectrum is larger than a predetermined threshold, the wind power generation facility is probably turned off.
【0013】
(発明を実施するための最良の形態)
以後、本発明の好ましい実施の形態を詳述する。本発明によれば、風力発電設
備の試運転時に、当該風力発電設備の典型的な基準ノイズパターンないし基準ノ
イズプロファイルを、例えば部分負荷または定格負荷下の如くの所定運転レンジ
について記録すると共に、データ記憶装置に保存する。風力発電設備が全て同一
構造であれば、改めて特定の基準ノイズスペクトルを記録する代わりに、既に保
存している基準ノイズスペクトルを利用することも可能である。風力発電設備に
おけるノイズスペクトルを記録するための音響ピックアップの設置個所は、複数
箇所が考えられ、何処であってもよい。例えば、ローター羽や、発電機、駆動系
、電子機器などをモニターすることも可能である。ローター羽をモニターする場
合では、音響ピックアップはタワーにあってその外側に装着してもよいし、発電
機は駆動系をモニターする場合では音響ピックアップはポッドに設けてもよく、
更に電子機器をモニターする場合では音響ピックアップはタワーの基底ないし変
電所に設けてもよい。このように音響ピックアップを設置する場所は、奇人ノイ
ズスペクトルの記録時と運転時ノイズスペクトルの記録時とで変えるべきではな
い。(Best Mode for Carrying Out the Invention) Hereinafter, preferred embodiments of the present invention will be described in detail. According to the present invention, at the time of test operation of the wind power generation facility, a typical reference noise pattern or reference noise profile of the wind power generation facility is recorded for a predetermined operation range such as under partial load or rated load, and data is stored. Save to device. If all the wind power generation facilities have the same structure, it is possible to use the already stored reference noise spectrum instead of recording a specific reference noise spectrum again. There may be a plurality of installation locations of the acoustic pickup for recording the noise spectrum in the wind power generation facility, and any location may be provided. For example, it is also possible to monitor rotor blades, generators, drive systems, electronic devices, and the like. When monitoring rotor wings, the acoustic pickup may be mounted on the outside of the tower and the generator may be mounted on the pod when monitoring the drivetrain,
Further, when monitoring electronic equipment, the acoustic pickup may be provided at the base of the tower or at the substation. In this way, the place where the acoustic pickup is installed should not be changed when recording the eccentric noise spectrum and when recording the driving noise spectrum.
【0014】
風力発電設備を運転しているときに、それぞれの音響(例えば、0.1Hz〜30
KHzの間の周波数スペクトル)を、例えば0KWから定格出力電力kまでの可動範囲
ないし運転時点に応じて記録する。その運転音響は基準ノイズスペクトルと比較
され、評価される。When operating the wind power generation facility, each sound (for example, 0.1 Hz to 30 Hz)
The frequency spectrum between KHz) is recorded, for example, depending on the operating range from 0 KW to the rated output power k or the operating time. The driving sound is compared and evaluated with a reference noise spectrum.
【0015】
運転ノイズスペクトルが検出されると、稼働範囲ないし運転範囲における運転
ノイズスペクトルをそれに対応する基準ノイズスペクトルと比較するために、風
力発電設備の稼働範囲ないし運転範囲を先ず判断する。その時に所定閾値を超過
するズレが発生すると、トラブル警報が発せられ、それが遠隔監視センターに伝
達され、場合によっては風力発電設備が自動的に或いは手動(センター側で)シャ
ットダウンされる。When the operating noise spectrum is detected, the operating range or operating range of the wind turbine generator is first determined in order to compare the operating noise spectrum in the operating range or operating range with the corresponding reference noise spectrum. At that time, if a deviation exceeding a predetermined threshold value occurs, a trouble alarm is issued, the trouble alarm is transmitted to the remote monitoring center, and the wind power generation facility is shut down automatically or manually (on the center side) in some cases.
【0016】
閾値を越える運転ノイズスペクトルと基準ノイズスペクトルとのズレが検出さ
れると、前述したようにトラブル警報が遠隔監視センターに伝達される。このト
ラブル警報ないし前記ズレの正確な分析は、遠隔監視センターで行われる。この
遠隔監視センターの運転係は恐らくはこのトラブル警報に直ぐ反応して、そのト
ラブル警報を現場の保守管理員に伝えるであろう。そのように、トラブル検出が
適時になされ、斯かる種のトラブルは迅速に保守管理員により対処されるのであ
る。また、考えられる損傷もそのようにして未然に防ぐことができるのである。
風力発電設備をこのように維持管理し、維持することにより、風力発電設備の平
均利用度、ひいてはその経済性を高めることができるのである。When the deviation between the operation noise spectrum exceeding the threshold value and the reference noise spectrum is detected, the trouble alarm is transmitted to the remote monitoring center as described above. The trouble alarm or the accurate analysis of the deviation is performed at the remote monitoring center. The operator of this remote monitoring center will probably react immediately to this trouble alarm and transmit the trouble alarm to maintenance personnel on site. As such, troubles are detected in a timely manner, and such troubles are promptly dealt with by maintenance personnel. Also possible damage can be prevented in this way.
By maintaining and maintaining the wind power generation facility in this way, it is possible to increase the average utilization rate of the wind power generation facility and thus its economic efficiency.
【0017】
トラブル診断を改善にするには、音響ピックアップで記録されていて、運転ス
ペクトルと基準スペクトルとの間のズレをもたらした元のノイズを遠隔監視セン
ターに伝達する。すると、運転係が問題の音響を聴取して、以上の有無を知覚で
判断し、適当な対策を採るようになるであろう。このような手順は、ヒトの耳は
敏感に反応するし、しかも、信号処理装置よりはノイズの聞き分けが上手である
から望ましいものである。To improve the trouble diagnosis, the original noise, which was recorded by the acoustic pickup and caused the deviation between the operating spectrum and the reference spectrum, is transmitted to the remote monitoring center. Then, the driver will listen to the sound in question, judge the presence or absence of the above, and take appropriate measures. Such a procedure is desirable because the human ear reacts sensitively and is better at identifying noise than signal processing devices.
【0018】
遠隔監視センターの運転員の負担を軽減するためには、元のノイズ(オーディ
オ信号)からノイズパターンを作成して、これらのパターンを集めて音響データ
の書庫を構築しておくのが望ましい。信号処理装置が風力発電設備の記録された
ノイズを保存さて手いるノイズパターンと比較して、考えられるトラブル原因か
ら予め対策を施すことができるのである。例えば記録されているオーディオ信号
は、それをデジタル化してノイズパターンに変換することができ、その後別のデ
ジタル処理にかける。遠隔監視センターの運転員はそのノイズを聞くのではある
が、その場合、信号処理装置により示唆されたトラブル原因を掴むことがでいる
であろう。そのような手順により、遠隔監視センターの運転職員に掛る職場での
負担を改善ないし軽減することができ、監視作業をより能率的に実施することが
できる。In order to reduce the burden on the operator of the remote monitoring center, it is necessary to create a noise pattern from the original noise (audio signal) and collect these patterns to build a library of acoustic data. desirable. The signal processor can compare the recorded noise of the wind power generation facility with the stored noise pattern and take proactive measures from possible causes of the trouble. For example, the recorded audio signal can be digitized into a noise pattern and then subjected to another digital process. The operator of the remote monitoring center would hear the noise, in which case he would be able to grasp the cause of the trouble suggested by the signal processor. Such a procedure can reduce or reduce the burden on the driving staff of the remote monitoring center at the workplace, and the monitoring work can be carried out more efficiently.
【0019】
更に、運転ノイズスペクトルと基準ノイズスペクトルとのズレを全て時間の結
果と共に保存したデータ書庫を構築すれば、原因とトラブル時の変動についての
情報を得ることも可能である。また、データ書庫のデータは、例えば風速、温度
、電流、電圧などの如くのその他の運転パラメータを比較することもできる。ト
ラブル発生に関しての相関も、斯かるデータの比較から見いだすことができるで
あろう。そのような指標は、それを知っていることが風力発電設備を新たに建設
したり、既存の設備の将来開発に利用できることから、開発部門からしても価値
のあるものである。Further, by constructing a data archive in which all the deviations between the operation noise spectrum and the reference noise spectrum are stored together with the result of time, it is possible to obtain information on the cause and the fluctuation at the time of trouble. The data in the data store can also be compared with other operating parameters such as wind speed, temperature, current, voltage, etc. Correlations regarding the occurrence of troubles can also be found by comparing such data. Such indicators are of value to the development sector as knowledge of them can be used to build new wind power plants or for future development of existing plants.
【手続補正書】[Procedure amendment]
【提出日】平成14年9月10日(2002.9.10)[Submission date] September 10, 2002 (2002.10.10)
【手続補正1】[Procedure Amendment 1]
【補正対象書類名】明細書[Document name to be amended] Statement
【補正対象項目名】特許請求の範囲[Name of item to be amended] Claims
【補正方法】変更[Correction method] Change
【補正の内容】[Contents of correction]
【特許請求の範囲】[Claims]
───────────────────────────────────────────────────── フロントページの続き (81)指定国 EP(AT,BE,CH,CY, DE,DK,ES,FI,FR,GB,GR,IE,I T,LU,MC,NL,PT,SE),OA(BF,BJ ,CF,CG,CI,CM,GA,GN,GW,ML, MR,NE,SN,TD,TG),AP(GH,GM,K E,LS,MW,MZ,SD,SL,SZ,TZ,UG ,ZW),EA(AM,AZ,BY,KG,KZ,MD, RU,TJ,TM),AE,AG,AL,AM,AT, AU,AZ,BA,BB,BG,BR,BY,BZ,C A,CH,CN,CR,CU,CZ,DK,DM,DZ ,EE,ES,FI,GB,GD,GE,GH,GM, HR,HU,ID,IL,IN,IS,JP,KE,K G,KP,KR,KZ,LC,LK,LR,LS,LT ,LU,LV,MA,MD,MG,MK,MN,MW, MX,MZ,NO,NZ,PL,PT,RO,RU,S D,SE,SG,SI,SK,SL,TJ,TM,TR ,TT,TZ,UA,UG,US,UZ,VN,YU, ZA,ZW─────────────────────────────────────────────────── ─── Continued front page (81) Designated countries EP (AT, BE, CH, CY, DE, DK, ES, FI, FR, GB, GR, IE, I T, LU, MC, NL, PT, SE), OA (BF, BJ , CF, CG, CI, CM, GA, GN, GW, ML, MR, NE, SN, TD, TG), AP (GH, GM, K E, LS, MW, MZ, SD, SL, SZ, TZ, UG , ZW), EA (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM), AE, AG, AL, AM, AT, AU, AZ, BA, BB, BG, BR, BY, BZ, C A, CH, CN, CR, CU, CZ, DK, DM, DZ , EE, ES, FI, GB, GD, GE, GH, GM, HR, HU, ID, IL, IN, IS, JP, KE, K G, KP, KR, KZ, LC, LK, LR, LS, LT , LU, LV, MA, MD, MG, MK, MN, MW, MX, MZ, NO, NZ, PL, PT, RO, RU, S D, SE, SG, SI, SK, SL, TJ, TM, TR , TT, TZ, UA, UG, US, UZ, VN, YU, ZA, ZW
Claims (8)
準ノイズスペクトルを記録するステップと、 前記基準スペクトルを記憶手段に保存するステップと、 前記一箇所または設置個所で運転時の運転ノイズスペクトルを記録するステッ
プと、 運転ノイズスペクトルと基準スペクトルとのズレを検出するステップとからな
るモニター方法。1. A method for acoustically monitoring a wind power generation facility, comprising recording a reference noise spectrum of at least one location of the wind power generation facility and / or its components, and storing the reference spectrum. A monitoring method comprising the steps of storing in a means, recording an operation noise spectrum during operation at the one place or installation location, and detecting a deviation between the operation noise spectrum and a reference spectrum.
準ノイズスペクトルを記憶手段に保存するステップと、 前記一箇所または設置個所で運転時の運転ノイズスペクトルを記録するステッ
プと、 記録した運転ノイズスペクトルを保存した基準スペクトルと比較するステップ
と、 運転ノイズスペクトルと基準スペクトルとのズレを検出するステップとからな
るモニター方法。2. A method for acoustically monitoring a wind power generation facility, comprising storing in a storage means a reference noise spectrum of at least one of the wind power generation facility and its constituent parts, or both. A monitor consisting of recording a driving noise spectrum during operation at a location or installation site, comparing the recorded driving noise spectrum with a stored reference spectrum, and detecting a deviation between the driving noise spectrum and the reference spectrum. Method.
ペクトルが、前記箇所での運転時に連続または繰り返して記録されることよりな
るモニター方法。3. The method according to claim 1, wherein the driving noise spectrum is recorded continuously or repeatedly during driving at the location.
転ノイズスペクトルと基準スペクトルとの間で検出されたズレが遠隔監視センタ
ーに伝達されることよりなるモニター方法。4. The method according to claim 1, wherein the deviation detected between the driving noise spectrum and the reference spectrum is transmitted to a remote monitoring center. Method.
準スペクトルとの間にズレをもたらした元のノイズが遠隔監視センターに伝達さ
れることよりなるモニター方法。5. The method according to claim 4, wherein the original noise causing the deviation between the driving noise spectrum and the reference spectrum is transmitted to the remote monitoring center.
パターンを形成し、このノイズパターンから音響データの書庫を構築することよ
りなるモニター方法。6. The monitoring method according to claim 5, comprising forming a noise pattern from the original noise and constructing an archive of acoustic data from the noise pattern.
トルと基準スペクトルとの間のズレが所定閾値を越えた場合に、風力発電設備を
シャットダウンすることよりなるモニター方法。7. The method according to claim 1, wherein the wind power generation facility is shut down when the deviation between the operation noise spectrum and the reference spectrum exceeds a predetermined threshold value.
力発電設備であって、 少なくとも風力発電設備の所定の一箇所に配置されて、ある一時には基準ノイ
ズスペクトルを記録し、風力発電設備とその構成部品の何れか、または両方の運
転ノイズスペクトルを連続して記録する少なくとも一つの音響ピックアップと、 設備の基準スペクトルを保存する記憶手段と、 記録した運転ノイズスペクトルを保存した基準スペクトルと比較して運転ノイ
ズスペクトルと基準スペクトルとのズレを検出するデータ処理手段とからなり、 運転ノイズスペクトルと基準スペクトルとの間のズレが所定閾値を越えた場合
に、シャットダウンされることよりなる風力発電設備。8. A wind power generation facility to which the acoustic monitoring method according to any one of claims 1 to 5 is applied, wherein the wind power generation facility is arranged at least at a predetermined location of the wind power generation facility, and a reference noise spectrum is recorded at a certain time. , At least one acoustic pickup that continuously records the operating noise spectrum of the wind power generation facility and / or its components, storage means that stores the reference spectrum of the facility, and the recorded operating noise spectrum. It is composed of data processing means for detecting a deviation between the driving noise spectrum and the reference spectrum by comparing with the reference spectrum, and is shut down when the deviation between the driving noise spectrum and the reference spectrum exceeds a predetermined threshold. Wind power generation equipment.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19948194.6 | 1999-10-06 | ||
DE19948194A DE19948194C2 (en) | 1999-10-06 | 1999-10-06 | Process for monitoring wind turbines |
PCT/EP2000/006433 WO2001025631A1 (en) | 1999-10-06 | 2000-07-07 | Method for monitoring wind power plants |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2003511657A true JP2003511657A (en) | 2003-03-25 |
JP3629465B2 JP3629465B2 (en) | 2005-03-16 |
Family
ID=7924735
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2001528338A Expired - Lifetime JP3629465B2 (en) | 1999-10-06 | 2000-07-07 | Wind power generation facility monitoring method |
Country Status (13)
Country | Link |
---|---|
US (2) | US6785637B1 (en) |
EP (1) | EP1222391B1 (en) |
JP (1) | JP3629465B2 (en) |
KR (1) | KR100544013B1 (en) |
AT (1) | ATE496218T1 (en) |
AU (1) | AU6690000A (en) |
CA (1) | CA2386114C (en) |
CY (1) | CY1111610T1 (en) |
DE (2) | DE19948194C2 (en) |
DK (1) | DK1222391T3 (en) |
ES (1) | ES2357418T3 (en) |
PT (1) | PT1222391E (en) |
WO (1) | WO2001025631A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009544880A (en) * | 2006-07-21 | 2009-12-17 | リパワー システムズ エージー | Wind power generator operation method |
WO2011111730A1 (en) * | 2010-03-12 | 2011-09-15 | Ntn株式会社 | Abrasion detection device, wind power generator equipped therewith, and abrasion detection method |
WO2011151875A1 (en) * | 2010-05-31 | 2011-12-08 | 三菱重工業株式会社 | Wind power generator provided with in-rotor contaminant detection device, and method for driving wind power generator |
Families Citing this family (64)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE20021970U1 (en) | 2000-12-30 | 2001-04-05 | Igus Ingenieurgemeinschaft Umweltschutz Meß-und Verfahrenstechnik GmbH, 01099 Dresden | Device for monitoring the condition of rotor blades on wind turbines |
DE10065314B4 (en) * | 2000-12-30 | 2007-08-16 | Igus - Innovative Technische Systeme Gmbh | Method and device for monitoring the condition of rotor blades on wind turbines |
DE10109553B4 (en) | 2001-02-28 | 2006-03-30 | Wobben, Aloys, Dipl.-Ing. | Air density dependent power control |
DE10115267C2 (en) * | 2001-03-28 | 2003-06-18 | Aloys Wobben | Method for monitoring a wind energy plant |
SE0200237D0 (en) * | 2002-01-29 | 2002-01-29 | Abb Ab | Apparatus and method for operation of a power generating plant |
DE20210406U1 (en) * | 2002-07-05 | 2003-11-13 | GEO Gesellschaft für Energie und Ökologie mbH, 25917 Enge-Sande | Device for testing, maintaining wind energy system rotor blades has frame with two legs linked together, each with guide rollers and sensors, holding band attached to both legs, tensioning device |
AU2004207180C1 (en) * | 2003-02-01 | 2010-03-25 | Aloys Wobben | Method for the erection of a wind energy plant and wind energy plant |
US20040261531A1 (en) * | 2003-06-30 | 2004-12-30 | General Electric Canada Inc. | Method and system for analyzing hydraulic turbine vibrations |
DE10331160A1 (en) * | 2003-07-10 | 2005-02-03 | Könnemann, Frank | Gravitational force impact generator for wind turbine rotor blade testing has impact body incorporated within rotor blade for providing impact force during blade rotation |
DE102005017054B4 (en) * | 2004-07-28 | 2012-01-05 | Igus - Innovative Technische Systeme Gmbh | Method and device for monitoring the condition of rotor blades on wind turbines |
ES2386895T3 (en) * | 2005-07-28 | 2012-09-05 | General Electric Company | Freeze detection system for a wind turbine |
US8021110B2 (en) * | 2007-01-05 | 2011-09-20 | General Electric Company | Tonal emission control for wind turbines |
WO2008113354A1 (en) * | 2007-03-16 | 2008-09-25 | Vestas Wind Systems A/S | Method for condition monitoring a rotor of a wind energy plant |
CN101675325A (en) * | 2007-03-29 | 2010-03-17 | 维斯塔斯风力系统有限公司 | Be used to check the method for at least one spinner blade of wind turbine and the check system that is used at least one spinner blade of wind turbine |
DE102007020423A1 (en) * | 2007-04-27 | 2008-10-30 | Daubner & Stommel GbR Bau-Werk-Planung (vertretungsberechtigter Gesellschafter: Matthias Stommel, 27777 Ganderkesee) | Method for operating a wind turbine and wind turbine |
DE102007027849A1 (en) * | 2007-06-13 | 2008-12-18 | Repower Systems Ag | Method for operating a wind energy plant |
US7895018B2 (en) | 2007-08-10 | 2011-02-22 | General Electric Company | Event monitoring via combination of signals |
CN101918710B (en) * | 2007-11-07 | 2013-10-16 | 维斯塔斯风力系统集团公司 | Diagnosis of pitch and load defects |
US20100268395A1 (en) * | 2007-12-11 | 2010-10-21 | Vestas Wind Systems A/S | System and method for detecting performance |
US20090153656A1 (en) * | 2007-12-12 | 2009-06-18 | General Electric Corporation | Wind turbine maintenance system |
CN101556168B (en) * | 2008-04-11 | 2012-05-09 | 株式会社东芝 | Equipment operating data monitoring device |
DE102008026842B3 (en) * | 2008-06-05 | 2010-02-18 | Repower Systems Ag | Method and arrangement for monitoring the operation of a wind energy plant |
ITMI20081122A1 (en) | 2008-06-19 | 2009-12-20 | Rolic Invest Sarl | WIND GENERATOR PROVIDED WITH A COOLING SYSTEM |
DK2166422T3 (en) * | 2008-09-17 | 2017-10-23 | Siemens Ag | Procedure for alarm mask generation and condition monitoring of wind turbines |
US7881888B2 (en) * | 2008-09-30 | 2011-02-01 | Vestas Wind Systems A/S | Logical scheme for severe fault detection |
US8050887B2 (en) | 2008-12-22 | 2011-11-01 | General Electric Company | Method and system for determining a potential for icing on a wind turbine blade |
DE102009004385B4 (en) | 2009-01-12 | 2010-11-25 | Repower Systems Ag | Method and device for monitoring a wind turbine |
WO2010097485A1 (en) * | 2009-02-27 | 2010-09-02 | Gamesa Innovation & Technology, S.L. | Methods for locating damage to wind turbine blades |
WO2010098815A1 (en) * | 2009-02-28 | 2010-09-02 | Ener2 Llc | Wind turbine |
US7896613B2 (en) * | 2009-06-03 | 2011-03-01 | General Electric Company | System and method for wind turbine noise control and damage detection |
EP2476033B1 (en) * | 2009-09-08 | 2019-06-19 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Model-based method for monitoring the condition of rotor blades |
US8277183B2 (en) * | 2009-09-30 | 2012-10-02 | General Electric Company | Systems and methods for monitoring wind turbine operation |
US8215907B2 (en) * | 2009-09-30 | 2012-07-10 | General Electric Company | Method and apparatus for controlling acoustic emissions of a wind turbine |
EP2320287A1 (en) * | 2009-11-05 | 2011-05-11 | Siemens Aktiengesellschaft | Monitoring system and method for monitoring the state of a technical installation |
IT1399201B1 (en) | 2010-03-30 | 2013-04-11 | Wilic Sarl | AEROGENERATOR AND METHOD OF REMOVING A BEARING FROM A AIRCONDITIONER |
IT1399511B1 (en) | 2010-04-22 | 2013-04-19 | Wilic Sarl | ELECTRIC GENERATOR FOR A VENTILATOR AND AEROGENER EQUIPPED WITH THIS ELECTRIC GENERATOR |
US8043054B2 (en) | 2010-08-25 | 2011-10-25 | General Electric Company | Method and system for monitoring wind turbine |
ITMI20110378A1 (en) | 2011-03-10 | 2012-09-11 | Wilic Sarl | ROTARY ELECTRIC MACHINE FOR AEROGENERATOR |
ITMI20110375A1 (en) | 2011-03-10 | 2012-09-11 | Wilic Sarl | WIND TURBINE |
ITMI20110377A1 (en) | 2011-03-10 | 2012-09-11 | Wilic Sarl | ROTARY ELECTRIC MACHINE FOR AEROGENERATOR |
US8849587B1 (en) | 2011-03-14 | 2014-09-30 | Neal Fredrick Lightle | System and method for remotely monitoring the health of a transformer |
US8433425B2 (en) | 2011-04-29 | 2013-04-30 | General Electric Company | Method, system and computer program product for dynamic rule engine for a wind turbine farm |
EP2535579B1 (en) | 2011-06-14 | 2020-01-22 | Siemens Gamesa Renewable Energy A/S | Method for acoustically monitoring a wind turbine, acoustic monitoring system for a wind turbine and re-equipment kit |
DE102011085107B4 (en) | 2011-10-24 | 2013-06-06 | Wobben Properties Gmbh | Method for controlling a wind energy plant |
US9453500B2 (en) | 2013-03-15 | 2016-09-27 | Digital Wind Systems, Inc. | Method and apparatus for remote feature measurement in distorted images |
US9330449B2 (en) | 2013-03-15 | 2016-05-03 | Digital Wind Systems, Inc. | System and method for ground based inspection of wind turbine blades |
US9194843B2 (en) | 2013-03-15 | 2015-11-24 | Digital Wind Systems, Inc. | Method and apparatus for monitoring wind turbine blades during operation |
US9395337B2 (en) | 2013-03-15 | 2016-07-19 | Digital Wind Systems, Inc. | Nondestructive acoustic doppler testing of wind turbine blades from the ground during operation |
CN103811015B (en) * | 2014-01-16 | 2016-07-06 | 浙江工业大学 | A kind of punch press noise power Power estimation improved method based on Burg method |
JP6282148B2 (en) * | 2014-03-17 | 2018-02-21 | Dmg森精機株式会社 | Machine Tools |
US9194250B1 (en) * | 2014-05-07 | 2015-11-24 | General Electric Company | Embedded wireless sensors for turbomachine component defect monitoring |
DE102014210152A1 (en) * | 2014-05-28 | 2015-12-03 | Robert Bosch Gmbh | Evaluation system and method for operating such an evaluation system |
US11255310B2 (en) * | 2016-11-14 | 2022-02-22 | Vestas Wind Systems A/S | Wind turbine noise analysis and control |
DE102016125803A1 (en) * | 2016-12-28 | 2018-06-28 | Fritz Studer Ag | Machine tool, in particular grinding machine, and method for determining an actual state of a machine tool |
CN109751196B (en) * | 2017-11-03 | 2020-05-29 | 北京金风科创风电设备有限公司 | Wind turbine identification method and device |
CN111788387B (en) * | 2017-12-29 | 2023-09-05 | 维斯塔斯风力系统集团公司 | Method and device for monitoring a wind turbine |
CN108301989B (en) * | 2018-01-31 | 2019-11-15 | 湖南优利泰克自动化系统有限公司 | A kind of Wind turbines failure logging method |
CN109209783A (en) * | 2018-09-18 | 2019-01-15 | 远景能源(江苏)有限公司 | A kind of method and device of the lightning damage based on noise measuring blade |
EP3832132B1 (en) | 2019-12-06 | 2023-06-07 | Wobben Properties GmbH | Mobile maintenance device, movable mounting device and method |
CN111306008B (en) * | 2019-12-31 | 2022-03-11 | 远景智能国际私人投资有限公司 | Fan blade detection method, device, equipment and storage medium |
CN111535999B (en) * | 2020-05-22 | 2021-08-24 | 三一重能有限公司 | Fan falling object monitoring method, device and system and storage medium |
EP3916223A1 (en) | 2020-05-29 | 2021-12-01 | Siemens Gamesa Renewable Energy A/S | Object detection in an interior of a turbine hub |
EP4317680A1 (en) * | 2022-08-05 | 2024-02-07 | Christoph Lucks | Method for detecting an imbalance in a wind turbine and for generating electricity by means of a wind turbine |
EP4542029A1 (en) | 2023-10-16 | 2025-04-23 | Wereover GmbH | Computer implemented method and computing system for monitoring the blades of a wind turbine |
Family Cites Families (38)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE2751228A1 (en) | 1977-11-16 | 1979-05-17 | Lawson Tancred H Sons & Co Sir | Wind driven electricity generator - has hydraulic pumps driven by wind wheel, in turn driving hydraulic motor driven generators selectively connected according to wind speed |
US4198866A (en) * | 1978-09-07 | 1980-04-22 | Vsesojuzny Nauchno-Issledovatelsky Institut Po Razrabotke Nerazrushajuschikh Metodov I Sredstv Knotrolya Kachestva Materialov"VNIINK" | Method and device for ultrasonic inspection of materials |
WO1981003702A1 (en) * | 1980-06-19 | 1981-12-24 | Boekels & Co H | Method and device for the acoustic supervision of machines and/or plants |
FR2486654A1 (en) * | 1980-07-08 | 1982-01-15 | Cgr | DEVICE FOR ACTIVATION OF ACOUSTIC TRANSMITTING MEASURING DEVICE BY DETECTING THE SUBSTANTIAL NOISE |
ES493471A0 (en) * | 1980-07-17 | 1982-06-01 | Martinez Parra Jose | ELECTRIC CENTRAL AIR SYSTEM, DRIVEN BY THE APPROVEMENT OF THE WIND FORCE |
DE3112122A1 (en) * | 1981-03-27 | 1982-10-07 | Robert Bosch Gmbh, 7000 Stuttgart | Method and device for vehicle diagnosis |
NL8103812A (en) | 1981-08-14 | 1983-03-01 | Berg Hendrik Van Den | METHOD FOR MATCHING DEMAND FOR ELECTRIC ENERGY WITH THE SUPPLY OF ELECTRIC ENERGY SUPPLIERS AND CIRCUIT APPLIED THEREFOR. |
IE57014B1 (en) | 1983-03-25 | 1992-03-11 | Wyeth John & Brother Ltd | Benzoquinolizines |
US5082421A (en) * | 1986-04-28 | 1992-01-21 | Rolls-Royce Plc | Active control of unsteady motion phenomena in turbomachinery |
US4967550A (en) * | 1987-04-28 | 1990-11-06 | Rolls-Royce Plc | Active control of unsteady motion phenomena in turbomachinery |
US4904996A (en) * | 1988-01-19 | 1990-02-27 | Fernandes Roosevelt A | Line-mounted, movable, power line monitoring system |
AT391385B (en) | 1988-12-23 | 1990-09-25 | Elin Union Ag | CONTROL AND CONTROL SYSTEM FOR A WIND TURBINE |
US4996880A (en) * | 1989-03-23 | 1991-03-05 | Electric Power Research Institute, Inc. | Operating turbine resonant blade monitor |
DE3941290A1 (en) * | 1989-12-14 | 1991-06-20 | Bochumer Eisen Heintzmann | METHOD FOR MONITORING AND CONTROLLING OPERATING PROCEDURES IN A MINING UNDERGROUND OPERATION AND MONITORING AND CONTROL DEVICE THEREFOR |
US5210704A (en) * | 1990-10-02 | 1993-05-11 | Technology International Incorporated | System for prognosis and diagnostics of failure and wearout monitoring and for prediction of life expectancy of helicopter gearboxes and other rotating equipment |
US5162659A (en) * | 1991-03-06 | 1992-11-10 | Northwest Airlines, Inc. | Method and apparatus for noncontact inspection of engine blades |
JPH0520884A (en) | 1991-07-12 | 1993-01-29 | Toshiba Corp | Semiconductor memory |
ES2132244T3 (en) * | 1992-08-10 | 1999-08-16 | Dow Deutschland Inc | PROCEDURE TO DETECT FOILING OF AN AXIAL COMPRESSOR. |
JPH07209035A (en) | 1994-01-11 | 1995-08-11 | Toshiba Corp | Watching device for state of apparatus |
IT1269818B (en) * | 1994-05-23 | 1997-04-15 | Ansaldo Gie Srl | EQUIPMENT AND DIAGNOSTIC PROCEDURE FOR MONITORING THE EFFICIENCY OF ROTATING ELECTRIC GENERATORS, SUCH AS TURBO ALTERNATORS |
JPH10507259A (en) * | 1994-08-31 | 1998-07-14 | ハネウエル・インコーポレーテッド | Remote power self-contained structure monitor |
FR2728536A1 (en) * | 1994-12-22 | 1996-06-28 | Eurocopter France | PALIERIER SYSTEM WITH GRADIENT OF EFFORT FOR HELICOPTER |
DE19534404A1 (en) * | 1995-09-16 | 1997-03-20 | En Umwelt Beratung E V I | Wind power installation technical state monitoring method |
DE19545008C5 (en) | 1995-12-02 | 2004-07-22 | Reilhofer Kg | Process for monitoring periodically operating machines |
US5845230A (en) | 1996-01-30 | 1998-12-01 | Skf Condition Monitoring | Apparatus and method for the remote monitoring of machine condition |
DE29609242U1 (en) * | 1996-05-23 | 1996-08-14 | WIND-consult Ingenieurgesellschaft für umweltschonende Energiewandlung mbH, 18211 Bargeshagen | Measuring device for testing and measuring the tower and rotor of wind turbines |
DE19620906C2 (en) | 1996-05-24 | 2000-02-10 | Siemens Ag | Wind farm |
DE19745007A1 (en) * | 1996-10-22 | 1998-04-23 | Bosch Gmbh Robert | Device and method for evaluating the noise of electrical machines or devices |
DE19712034A1 (en) * | 1997-03-21 | 1998-09-24 | Deutsch Zentr Luft & Raumfahrt | Flexible leading edge profile for aerofoil |
DE19731918B4 (en) * | 1997-07-25 | 2005-12-22 | Wobben, Aloys, Dipl.-Ing. | Wind turbine |
JP3518838B2 (en) | 1997-09-04 | 2004-04-12 | 株式会社東芝 | Sound monitoring device |
DE19743694C2 (en) * | 1997-10-02 | 2001-11-15 | Aloys Wobben | Rotor blade and wind turbine with one rotor blade |
US5942690A (en) * | 1997-11-25 | 1999-08-24 | Shvetsky; Arkady | Apparatus and method for ultrasonic inspection of rotating machinery while the machinery is in operation |
AU2046499A (en) * | 1998-01-14 | 1999-08-02 | Dancontrol Engineering A/S | Method for measuring and controlling oscillations in a wind turbine |
DE19852229C2 (en) * | 1998-11-12 | 2002-10-31 | Stn Atlas Elektronik Gmbh | Method and device for detecting damage to rail vehicles |
US6231306B1 (en) * | 1998-11-23 | 2001-05-15 | United Technologies Corporation | Control system for preventing compressor stall |
US6278197B1 (en) * | 2000-02-05 | 2001-08-21 | Kari Appa | Contra-rotating wind turbine system |
US20030066934A1 (en) * | 2001-09-06 | 2003-04-10 | Bolonkin Alexander Alexandrovich | Method of utilization a flow energy and power installation for it |
-
1999
- 1999-10-06 DE DE19948194A patent/DE19948194C2/en not_active Revoked
-
2000
- 2000-07-07 ES ES00954444T patent/ES2357418T3/en not_active Expired - Lifetime
- 2000-07-07 AT AT00954444T patent/ATE496218T1/en active
- 2000-07-07 EP EP00954444A patent/EP1222391B1/en not_active Expired - Lifetime
- 2000-07-07 KR KR1020027004394A patent/KR100544013B1/en not_active Expired - Lifetime
- 2000-07-07 DE DE50016063T patent/DE50016063D1/en not_active Expired - Lifetime
- 2000-07-07 PT PT00954444T patent/PT1222391E/en unknown
- 2000-07-07 DK DK00954444.6T patent/DK1222391T3/en active
- 2000-07-07 JP JP2001528338A patent/JP3629465B2/en not_active Expired - Lifetime
- 2000-07-07 WO PCT/EP2000/006433 patent/WO2001025631A1/en active IP Right Grant
- 2000-07-07 AU AU66900/00A patent/AU6690000A/en not_active Abandoned
- 2000-07-07 CA CA002386114A patent/CA2386114C/en not_active Expired - Lifetime
- 2000-07-07 US US10/089,774 patent/US6785637B1/en not_active Expired - Lifetime
-
2004
- 2004-07-02 US US10/884,482 patent/US7072784B2/en not_active Expired - Lifetime
-
2011
- 2011-02-24 CY CY20111100224T patent/CY1111610T1/en unknown
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009544880A (en) * | 2006-07-21 | 2009-12-17 | リパワー システムズ エージー | Wind power generator operation method |
US8169097B2 (en) | 2006-07-21 | 2012-05-01 | Repower Systems Ag | Method for operating a wind energy installation |
WO2011111730A1 (en) * | 2010-03-12 | 2011-09-15 | Ntn株式会社 | Abrasion detection device, wind power generator equipped therewith, and abrasion detection method |
JP2011208635A (en) * | 2010-03-12 | 2011-10-20 | Ntn Corp | Abrasion detector, wind turbine generator provided with the same, and method for detecting abrasion |
US8881583B2 (en) | 2010-03-12 | 2014-11-11 | Ntn Corporation | Abrasion sensing device, wind turbine generation apparatus including the same, and abrasion sensing method |
WO2011151875A1 (en) * | 2010-05-31 | 2011-12-08 | 三菱重工業株式会社 | Wind power generator provided with in-rotor contaminant detection device, and method for driving wind power generator |
CN102341596A (en) * | 2010-05-31 | 2012-02-01 | 三菱重工业株式会社 | Wind turbine generator having a detection unit for detecting foreign object inside rotor and operating method thereof |
US8292568B2 (en) | 2010-05-31 | 2012-10-23 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator having a detection unit for detecting foreign object inside rotor and operating method thereof |
JPWO2011151875A1 (en) * | 2010-05-31 | 2013-07-25 | 三菱重工業株式会社 | WIND POWER GENERATOR HAVING ROTOR FOREIGN-BODY DETECTOR AND METHOD FOR OPERATING WIND POWER GENERATOR |
KR101302891B1 (en) | 2010-05-31 | 2013-09-06 | 미츠비시 쥬고교 가부시키가이샤 | Wind turbine generator having a detection unit for detecting foreign object inside rotor and operating method thereof |
Also Published As
Publication number | Publication date |
---|---|
US7072784B2 (en) | 2006-07-04 |
ES2357418T3 (en) | 2011-04-26 |
AU6690000A (en) | 2001-05-10 |
CY1111610T1 (en) | 2015-10-07 |
CA2386114A1 (en) | 2001-04-12 |
KR20020045607A (en) | 2002-06-19 |
JP3629465B2 (en) | 2005-03-16 |
EP1222391A1 (en) | 2002-07-17 |
EP1222391B1 (en) | 2011-01-19 |
DE19948194C2 (en) | 2001-11-08 |
ATE496218T1 (en) | 2011-02-15 |
US20040236538A1 (en) | 2004-11-25 |
DE50016063D1 (en) | 2011-03-03 |
PT1222391E (en) | 2011-03-09 |
KR100544013B1 (en) | 2006-01-20 |
WO2001025631A1 (en) | 2001-04-12 |
CA2386114C (en) | 2003-10-21 |
DK1222391T3 (en) | 2011-04-18 |
DE19948194A1 (en) | 2001-04-26 |
US6785637B1 (en) | 2004-08-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP2003511657A (en) | How to monitor wind power facilities | |
CN106655522B (en) | A kind of main station system suitable for electric grid secondary equipment operation management | |
US7677869B2 (en) | Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations | |
CN111965415A (en) | Wide-area real-time monitoring system and method for broadband oscillation of power grid | |
CN109611288A (en) | A kind of wind-powered electricity generation operation platform based on big data | |
EP1531376B1 (en) | Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations | |
CN114415581B (en) | Mechanical equipment operation and maintenance method and system | |
CN116260119B (en) | Circuit breaker protection method and system for circuit data identification | |
US9581141B2 (en) | Early detection of wind turbine degradation using acoustical monitoring | |
CN117078017A (en) | An intelligent decision-making analysis system for power grid equipment monitoring | |
CN102183697A (en) | System for monitoring noise and vibration of power transformer | |
CN115163426B (en) | Fan fault detection method and system based on AI auscultation, and fan safety system | |
CN110445830A (en) | A kind of petrochemical industry Key generating unit equipment remote intelligent monitoring system | |
CN117553859A (en) | Intelligent detection system and detection method for high-low voltage power distribution cabinet | |
CN119514085A (en) | A multi-objective grid analysis method for distribution network planning | |
CN208506574U (en) | Wind turbine equipment safety information automatic propelling device | |
CN118154157A (en) | Wind power operation and maintenance platform based on big data | |
CN115618303B (en) | Automatic dispatch monitoring and fault locating system based on information fusion technology | |
CN206957877U (en) | A kind of fan safe monitoring platform based on fiber grating sensing technology | |
Zhou | Design of equipment fault diagnosis system based on audio analysis technology | |
JP2900864B2 (en) | Automatic setting method of alarm value and reference value in rotating equipment vibration monitoring and diagnosis system | |
CN219176495U (en) | Automatic alarm device for monitoring lightning stroke of wind generating set | |
CN222704124U (en) | A Fault Diagnosis System for Hydro-generator Sets | |
CN118130972B (en) | Communication cable data management method and device | |
CN118467997A (en) | Electrical Fault Alarm Model of Three-Phase Asynchronous Motor Based on Vibration Analysis |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20040720 |
|
A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20041019 |
|
TRDD | Decision of grant or rejection written | ||
A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20041124 |
|
A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20041213 |
|
R150 | Certificate of patent or registration of utility model |
Free format text: JAPANESE INTERMEDIATE CODE: R150 Ref document number: 3629465 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20071217 Year of fee payment: 3 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20081217 Year of fee payment: 4 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20091217 Year of fee payment: 5 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20101217 Year of fee payment: 6 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20101217 Year of fee payment: 6 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20111217 Year of fee payment: 7 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20121217 Year of fee payment: 8 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20121217 Year of fee payment: 8 |
|
FPAY | Renewal fee payment (event date is renewal date of database) |
Free format text: PAYMENT UNTIL: 20131217 Year of fee payment: 9 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
EXPY | Cancellation because of completion of term |